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Diyin Tang
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2020 – today
- 2024
- [j18]Jie Yang
, Jinsong Yu, Diyin Tang
An interpretable precursor-driven hierarchical model for predictive aircraft safety. Eng. Appl. Artif. Intell. 138: 109322 (2024) - [j17]Xucong Huang, Zhaoqin Peng, Diyin Tang
A physics-informed autoencoder for system health state assessment based on energy-oriented system performance. Reliab. Eng. Syst. Saf. 242: 109790 (2024) - [j16]Yue Song
Detection of Voltage Fault in Lithium-Ion Battery Based on Equivalent Circuit Model-Informed Neural Network. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j15]Jinhan Zhou
Construction of Interpretable Health Indicators for System-Level Fault Prognosis Driven by Inductive Generative Learning. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j14]Jie Yang
Explaining Anomalous Events in Flight Data of UAV With Deep Attention-Based Multi-Instance Learning. IEEE Trans. Veh. Technol. 73(1): 107-119 (2024) - 2023
- [j13]Yue Song
Short-Term Forecasting Based on Graph Convolution Networks and Multiresolution Convolution Neural Networks for Wind Power. IEEE Trans. Ind. Informatics 19(2): 1691-1702 (2023) - [j12]Danyang Han
Health Assessment for RUL Prediction of Machinery Components Using Low-Sampling Temporal Signals: A Condensed Image Coding Approach. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j11]Zhaoqin Peng
Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c6]Runhao Cui, Xucong Huang, Peng Zhang, Diyin Tang:
Digital Twin-Driven Degradation Modeling Method for Control Moment Gyroscope Health Management. BigDataService 2023: 236-241 - 2022
- [j10]Diyin Tang
System-Level Performance Prediction for Infrared Systems Based on Energy Redistribution in Infrared Images. IEEE Trans. Ind. Electron. 69(2): 2000-2011 (2022) - [j9]Diyin Tang, Mengtong Gong
Health Indicator Construction of High-Speed Rotating Bearings in Aerospace CMG Based on Physics-Inspired Machine-Learning Approach. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c5]Danyang Han, Jinsong Yu, Diyin Tang, Lingkun Kong, Xin Li:
A RP image-based health indicator construction method for wind turbine RUL prediction. I2MTC 2022: 1-6 - [c4]Yue Song, Jinsong Yu, Diyin Tang, Jie Yang, Lingkun Kong, Xin Li:
Anomaly Detection in Spacecraft Telemetry Data using Graph Convolution Networks. I2MTC 2022: 1-6 - 2021
- [j8]Jinsong Yu
Telemetry Data-Based Spacecraft Anomaly Detection With Spatial-Temporal Generative Adversarial Networks. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - 2020
- [j7]Yuanjun Laili, Sisi Lin, Diyin Tang:
Multi-phase integrated scheduling of hybrid tasks in cloud manufacturing environment. Robotics Comput. Integr. Manuf. 61: 101850 (2020)
2010 – 2019
- 2019
- [j6]Jinsong Yu, Yiyu Shi, Diyin Tang
Optimizing sequential diagnostic strategy for large-scale engineering systems using a quantum-inspired genetic algorithm: A comparative study. Appl. Soft Comput. 85 (2019) - [j5]Jinsong Yu
An approach to predicpt discharge voltage of lithium-ion batteries under dynamic loading conditions. J. Ambient Intell. Humaniz. Comput. 10(3): 923-936 (2019) - 2018
- [j4]Jinsong Yu, Weiqi Tang, Diyin Tang
A prediction method for discharge voltage of lithium-ion batteries under unknown dynamic loads. Microelectron. Reliab. 88-90: 1206-1211 (2018) - [c3]Jinsong Yu, Yiyu Shi, Diyin Tang, Hao Liu:
Degradation Modeling and Performance Monitoring of Electro-optical Detection System via Dynamic Bayesian Network. IEEM 2018: 1693-1698 - 2017
- [j3]Jinsong Yu, Liang Shuang, Diyin Tang, Liu Hao:
Remaining Discharge Time Prognostics of Lithium-Ion Batteries Using Dirichlet Process Mixture Model and Particle Filtering Method. IEEE Trans. Instrum. Meas. 66(9): 2317-2328 (2017) - 2016
- [c2]Song Han, Jinsong Yu, Diyin Tang, Hao Liu, Jinsong Yu:
Implementation and verification of prognostics and health management system using a configurable system of systems architecture. ICPHM 2016: 1-5 - [c1]Baohua Mo, Jingsong Yu, Diyin Tang, Hao Liu:
A remaining useful life prediction approach for lithium-ion batteries using Kalman filter and an improved particle filter. ICPHM 2016: 1-5 - 2015
- [j2]Diyin Tang, Jinsong Yu, Xiongzi Chen, Viliam Makis:
An optimal condition-based maintenance policy for a degrading system subject to the competing risks of soft and hard failure. Comput. Ind. Eng. 83: 100-110 (2015) - [j1]Diyin Tang, Viliam Makis, Leila Jafari
Optimal maintenance policy and residual life estimation for a slowly degrading system subject to condition monitoring. Reliab. Eng. Syst. Saf. 134: 198-207 (2015)
Coauthor Index
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last updated on 2024-11-07 20:28 CET by the dblp team
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